Polygon Pricing: Real-time Market Data Costs (2026)

Pricing overview

Polygon.io provides market data through a subscription-based pricing model, designed to accommodate a range of users from individual developers to large financial institutions. The core distinction across plans is the data latency (real-time versus delayed) and the volume of API requests permitted. All plans offer access to Polygon's various APIs, including Stocks, Options, Forex, Crypto, and Indices, with features scaling up in higher tiers.

The pricing structure is primarily monthly, with options for annual billing that may include discounts. Users select a plan based on their required data speed, historical data depth, and anticipated API call volume. Overages for API requests are generally handled through incremental charges or by requiring an upgrade to a higher tier, depending on the specific plan and usage patterns.

Plans and tiers

Polygon.io offers multiple subscription tiers, each designed to meet different usage requirements regarding data access, speed, and API limits. The primary plans include Starter (free), Developer, Growth, and Professional, with custom Enterprise solutions available for high-volume users. Each tier builds upon the previous one, adding more features, higher API rate limits, and deeper historical data access.

For the most current details regarding specific features and API limits for each plan, users should consult the official Polygon.io pricing page.

Free tier and limits

Polygon.io offers a free Starter tier, allowing users to explore the API and its capabilities without an initial financial commitment. This tier is designed for evaluation and development purposes, providing access to Polygon's extensive market data, albeit with certain limitations.

• Data Latency: Data provided on the Starter tier is delayed by 15 minutes. This means that real-time market movements are not immediately reflected, making it unsuitable for live trading or applications requiring immediate data updates.
• API Call Limits: The Starter plan is restricted to 5 API calls per minute. This limit is sufficient for testing endpoints and developing basic applications but can be quickly exhausted by more complex queries or frequent data updates.
• Historical Data: Access to historical data is limited in depth, meaning users may not be able to retrieve very old data points or extensive historical ranges for analysis.
• Websockets: The Starter tier does not include access to WebSocket feeds, which are essential for receiving real-time, streaming data without polling the API.

Users seeking real-time data, higher API limits, or WebSocket access will need to upgrade to a paid plan, starting with the Developer tier, as detailed on the Polygon.io pricing information.

Real-world cost examples

Understanding Polygon.io's pricing in practical scenarios helps developers and businesses budget effectively. The actual cost can vary significantly based on application requirements, data volume, and the need for real-time versus delayed information.

Example 1: Individual Developer for Personal Project

• Use Case: Building a personal stock portfolio tracker that updates daily and occasionally fetches historical data for analysis. Real-time data is not critical for this use case.
• Required Plan: Starter (Free).
• Justification: The 15-minute delayed data is acceptable for daily updates. The 5 API calls/minute limit is sufficient for infrequent historical data requests and daily portfolio updates. No need for websockets.
• Estimated Monthly Cost: $0.

Example 2: Algorithmic Trading Bot Developer

• Use Case: Developing an algorithmic trading bot that requires real-time stock and options data for execution and backtesting with extensive historical data. High API call volume for frequent updates and strategy testing.
• Required Plan: Growth ($149/month).
• Justification: The Developer plan's 100 API calls/minute might be insufficient for rapid backtesting and real-time decision-making across multiple symbols. The Growth plan provides 500 API calls/minute, unlimited historical data, and real-time WebSocket access, which are crucial for this application.
• Estimated Monthly Cost: $149.

Example 3: Fintech Startup Building a Financial News Platform

• Use Case: Creating a platform that provides real-time market news and data visualizations for thousands of users. Requires high API throughput, reliable real-time data feeds, and robust infrastructure.
• Required Plan: Professional ($299/month) or Enterprise (Custom).
• Justification: The Professional plan offers 2,000 API calls/minute and priority support, which is suitable for a growing user base and critical real-time data delivery. If the platform scales rapidly or requires custom data feeds, dedicated account management, or on-premise solutions, the Enterprise plan would be necessary to handle the scale and specific requirements.
• Estimated Monthly Cost (Professional): $299.

Example 4: Academic Researcher Analyzing Historical Market Trends

• Use Case: Conducting long-term research on historical stock performance over several decades, requiring large datasets of end-of-day and potentially minute-level data. Real-time data is not needed.
• Required Plan: Developer ($29/month).
• Justification: While real-time data is included, the Developer plan offers unlimited historical data for subscribed asset classes, which is the primary need. The 100 API calls/minute would allow for efficient fetching of large historical datasets without excessive delays. The Starter plan's limited historical depth would be insufficient.
• Estimated Monthly Cost: $29.

These examples illustrate how different use cases necessitate different Polygon.io subscription tiers, primarily driven by the need for real-time data, API call volume, and historical data depth. Developers should carefully evaluate their specific requirements against the features and limits of each plan detailed on the official Polygon.io pricing page.

How the pricing compares

When evaluating Polygon.io's pricing, it is useful to compare it against other market data providers. Competitors such as Alpaca, Twelve Data, and EOD Historical Data offer similar services but often with different pricing models, data coverage, and API limits. The optimal choice depends on specific project needs, budget, and required data fidelity.

Alpaca

Alpaca primarily focuses on commission-free stock trading APIs with integrated market data. Their data services often come bundled with their brokerage accounts, and they offer both free and paid tiers for market data access. Alpaca's free tier typically provides real-time data for a limited set of assets and lower API limits, which can be more generous for real-time access than Polygon's Starter tier. However, Polygon.io generally offers broader access to historical data depth across more asset classes in its paid tiers. For developers primarily focused on automated trading, Alpaca's integrated brokerage and data solution might present a more streamlined option, while Polygon.io often appeals to those needing a dedicated, comprehensive data source for analysis or display.

Twelve Data

Twelve Data offers a wide range of financial data, including real-time, historical, and fundamental data. Their pricing structure is often characterized by a credit-based system or tiered subscriptions similar to Polygon.io. Twelve Data's free tier typically provides limited real-time data and historical data access, with paid plans scaling based on API requests and data endpoints. A key differentiator can be the granularity of data (e.g., tick data availability) and the specific exchanges covered. Twelve Data is often competitive on price for basic real-time data access but may have different costs for extensive historical data or less common data types compared to Polygon.io.

EOD Historical Data

EOD Historical Data specializes, as its name suggests, in end-of-day (EOD) and extensive historical data, though they also offer some real-time feeds. Their pricing is typically subscription-based, with tiers determined by the number of API requests, data coverage (e.g., number of exchanges, asset classes), and access to fundamental data. EOD Historical Data is often more cost-effective for users whose primary need is large volumes of historical data and who do not require ultra-low-latency real-time feeds. For applications heavily reliant on real-time, tick-level data or WebSocket streaming, Polygon.io's paid tiers often provide more robust solutions, though at potentially higher price points for those specific features. A comparison of API capabilities and data quality across providers is also a significant factor, as noted by organizations such as the Mozilla Developer Network's discussion on API throttling and rate limits, which impacts the practical usability of any API plan.

In summary, Polygon.io's pricing is competitive for developers and businesses requiring reliable, real-time market data across multiple asset classes. Its tiered structure allows for scalability, with the free tier providing a useful entry point for testing. The choice between Polygon.io and its alternatives often comes down to the specific balance between cost, data latency, historical data depth, and the breadth of asset coverage required for a given application.